code: def __init__(self, is_target: bool = False):
      super().__init__(is_target)
      self.ngram_range = (1, 5)
      self.max_features = 500
  
file_path: lightwood/lightwood/encoder/text/tfidf.py
imports: import torch
  from sklearn.feature_extraction.text import TfidfVectorizer
  import numpy
  from lightwood.encoder.base import BaseEncoder
label_desc: Use image node_id 1 to create a new TfidfEncoder object from inherited base classes: BaseEncoder with example: obj = TfidfEncoder(is_target)